|
|
Absolute deviation, 绝对离差
; R" w1 ^8 o$ `& JAbsolute number, 绝对数4 M- h6 S" Z, Q) C" M9 [' `& i
Absolute residuals, 绝对残差
# N9 S- \. K' b ?. A8 `, SAcceleration array, 加速度立体阵- D+ L/ t$ J7 i; N5 ^1 F; B6 d
Acceleration in an arbitrary direction, 任意方向上的加速度; m' I5 x/ R" R/ x! x0 A- ]
Acceleration normal, 法向加速度0 ^4 U. Z6 [! P$ ^ ~0 X; i% }
Acceleration space dimension, 加速度空间的维数3 _7 }& @$ l% k6 Y. e" [4 e
Acceleration tangential, 切向加速度
7 K5 D; d/ A0 d6 f- A+ l5 DAcceleration vector, 加速度向量
, X9 b! T' ~: k) x; SAcceptable hypothesis, 可接受假设5 C T2 X D1 P( I
Accumulation, 累积
+ [ f" j4 b) f' o' V6 O b/ fAccuracy, 准确度
2 Z. p$ h, t. O& m0 jActual frequency, 实际频数) L+ K8 |7 ^% X! E! t. c% l
Adaptive estimator, 自适应估计量
% c9 _( T+ t/ y N' J7 pAddition, 相加
5 x* u+ z$ R7 z' j) `" \Addition theorem, 加法定理; S9 @5 A9 U7 a- E( r% Z
Additivity, 可加性
( S# z+ p$ b ?6 O! F& A% AAdjusted rate, 调整率/ n w" E; P3 p( [; H5 q# K8 x
Adjusted value, 校正值- Z: z: S' ^3 ~& f" R5 E3 E
Admissible error, 容许误差
2 a: ]5 l' L8 i8 W2 N! F4 c3 OAggregation, 聚集性5 T& G7 [5 l, m3 r3 q) u* ^( V
Alternative hypothesis, 备择假设
k! K$ P1 F3 o% S$ @* AAmong groups, 组间
B3 F3 d* w- F9 zAmounts, 总量
8 f4 Z. j* `, l9 b# C3 `Analysis of correlation, 相关分析: a5 j8 Q% e4 n
Analysis of covariance, 协方差分析
( R/ Y! p% C1 f3 H. ` [. W( _# OAnalysis of regression, 回归分析4 b% f8 F: k" @4 a: Z
Analysis of time series, 时间序列分析
# G& ?$ z/ x! h# q* QAnalysis of variance, 方差分析
/ a" F7 h+ j" T/ XAngular transformation, 角转换+ c& q0 e# b: V9 g) [, [
ANOVA （analysis of variance）, 方差分析1 b) n& n# V- H4 b9 J7 @* I
ANOVA Models, 方差分析模型9 ~' J$ b) v; X& ^& ~
Arcing, 弧/弧旋, K; U* }9 L* c7 t
Arcsine transformation, 反正弦变换
& \* m, B7 J, S! Q. cArea under the curve, 曲线面积
, O; P/ ~% J. E+ yAREG , 评估从一个时间点到下一个时间点回归相关时的误差 ! F3 E: v% b5 E' `0 R
ARIMA, 季节和非季节性单变量模型的极大似然估计
$ J: T/ D6 X8 a# q5 WArithmetic grid paper, 算术格纸# j3 a, C f. C# d n( u
Arithmetic mean, 算术平均数5 r3 ?( K/ o5 Q: f0 G0 @" {6 D8 [! V
Arrhenius relation, 艾恩尼斯关系
7 F ]% j" a5 T; b. t$ MAssessing fit, 拟合的评估% X; Z' v, w; I2 y* k
Associative laws, 结合律5 I3 K9 x! _* V5 w: w! a. ~; [
Asymmetric distribution, 非对称分布! P/ M0 N$ M* T2 R) v7 O$ g
Asymptotic bias, 渐近偏倚! ]& O! b d9 z( _3 h$ V8 X
Asymptotic efficiency, 渐近效率
/ t1 Z6 c3 B/ H: `5 o* YAsymptotic variance, 渐近方差0 U& Z+ k0 T/ O; S2 R+ |
Attributable risk, 归因危险度, M u% \% s9 F* u/ f3 ^2 |
Attribute data, 属性资料& C7 }$ T. O U, w9 ]( l7 N* }
Attribution, 属性/ X5 |4 B5 f0 X
Autocorrelation, 自相关
: q# @1 g! B; H( E6 kAutocorrelation of residuals, 残差的自相关
; H. j4 [% h# S' S7 |Average, 平均数# d5 ~; ]* D8 F- Q
Average confidence interval length, 平均置信区间长度
) C( T! e: K: |$ t3 S) ]Average growth rate, 平均增长率
" |3 v& v) n" u/ z9 jBar chart, 条形图6 E' r( V z& U! [4 I6 d. D9 d( c
Bar graph, 条形图
7 c1 H1 ^4 n3 y% Z3 vBase period, 基期
- M. p3 f+ X8 L( F/ P7 I; L* |Bayes' theorem , Bayes定理: U; P6 X" e$ N; {$ W2 t% F8 k' N
Bell-shaped curve, 钟形曲线; F+ W3 ^7 P6 W( [0 \% E5 D
Bernoulli distribution, 伯努力分布- \9 M% u6 [& \; Q
Best-trim estimator, 最好切尾估计量
4 U7 h" g* K- m% Y v. xBias, 偏性
, K2 }' s9 @* RBinary logistic regression, 二元逻辑斯蒂回归! G1 _: G: x- F! N- K
Binomial distribution, 二项分布5 d8 v1 ^! q# D# Y! n2 q# O
Bisquare, 双平方 \( g- `$ e) r+ |/ \
Bivariate Correlate, 二变量相关
$ \9 H) ? V. ?7 wBivariate normal distribution, 双变量正态分布! `9 J8 `0 `# ~
Bivariate normal population, 双变量正态总体
: C3 i: T6 Y! E) _, aBiweight interval, 双权区间
7 G# X) K' z4 ^4 `3 UBiweight M-estimator, 双权M估计量3 U3 R- x# o0 b( R1 a
Block, 区组/配伍组
& V S( |/ B4 Z8 T6 sBMDP(Biomedical computer programs), BMDP统计软件包5 V# T' D& Q- h2 E+ D
Boxplots, 箱线图/箱尾图
2 H! F, `2 [3 z% w9 w( o2 }Breakdown bound, 崩溃界/崩溃点
! x+ B" B* @6 o3 I" ?Canonical correlation, 典型相关
# B/ |% ^. d. E) u. [ D$ zCaption, 纵标目
+ d0 p' i0 P$ d( G( V! MCase-control study, 病例对照研究
9 P5 g4 a% z4 Z |2 \/ ZCategorical variable, 分类变量4 d% W6 ~6 U; y F$ e* ~ d+ Y
Catenary, 悬链线( c; u1 ?& c4 m. G8 o' j& d+ B. a
Cauchy distribution, 柯西分布
- v9 b! Q, G7 r! F; q6 @7 qCause-and-effect relationship, 因果关系3 t! l; D! }& j# u' w" D
Cell, 单元+ o; T& N/ h0 [0 {; ]- G6 l4 C
Censoring, 终检9 {7 @1 v) o+ K6 X1 U- E* d' x
Center of symmetry, 对称中心) u: J- g) D: n! _& l, p @' S
Centering and scaling, 中心化和定标1 a3 X0 T' n7 T* A. P
Central tendency, 集中趋势$ @ R' l# U' N( H4 R* g1 @0 b4 B$ H
Central value, 中心值
. _. X) u4 Z5 @0 F' L3 K8 M4 lCHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测
5 ~0 G8 T, p( U5 i$ g" hChance, 机遇9 D4 t4 m0 q: H1 l9 I, V* ~7 H& |" c
Chance error, 随机误差
9 @: ~8 K5 ?6 G4 }* `/ ZChance variable, 随机变量
# {- i5 R7 C8 d! }* l& VCharacteristic equation, 特征方程) i: k. f9 x0 o5 N; J% I6 H
Characteristic root, 特征根3 o+ w! ?2 h$ ?0 J1 e, B; |) I* P
Characteristic vector, 特征向量' N& U! a& O0 v5 ?
Chebshev criterion of fit, 拟合的切比雪夫准则
, @ _* c; s6 o# P! |( ?Chernoff faces, 切尔诺夫脸谱图
: A/ @% ]3 m$ T. f4 VChi-square test, 卡方检验/χ2检验
( b. B5 k5 n9 R/ \; |Choleskey decomposition, 乔洛斯基分解3 w7 X" w3 W% p
Circle chart, 圆图 : y/ @$ j7 J9 ?+ J* x7 U
Class interval, 组距/ D9 p2 D; t e1 U! w/ |
Class mid-value, 组中值0 @. X; J$ N; F& y
Class upper limit, 组上限( a% G% B8 E- ?4 K
Classified variable, 分类变量: c9 W' x4 A' ^: ]4 a3 V, ?2 n1 G
Cluster analysis, 聚类分析( G+ C6 E- q" D. K
Cluster sampling, 整群抽样
' V5 M; q3 n$ P1 K, F1 D) C; d0 L' w! ]Code, 代码
- Y4 \& S2 _0 {+ e t! ?Coded data, 编码数据& U0 o0 d/ ?+ F; K
Coding, 编码/ D+ q( }% R+ r
Coefficient of contingency, 列联系数
' W" R& d5 P% t3 L+ H6 K, HCoefficient of determination, 决定系数
1 ^ {2 P( k& U6 D: l* W9 }4 iCoefficient of multiple correlation, 多重相关系数/ A* _. w& E* h" y3 b
Coefficient of partial correlation, 偏相关系数
: c1 z5 I4 b+ WCoefficient of production-moment correlation, 积差相关系数
: g. \; Q* E* {5 jCoefficient of rank correlation, 等级相关系数
: ^% q0 c) F3 i! KCoefficient of regression, 回归系数& t9 l. n e& x* m1 ~% x
Coefficient of skewness, 偏度系数
' ]$ E) m# @9 K8 X' D2 v+ _Coefficient of variation, 变异系数# a5 ~" f5 x9 g4 A2 _* E
Cohort study, 队列研究
2 x3 n: E- c! v5 L; _& VColumn, 列4 K' {. U/ V* P$ C2 y) p
Column effect, 列效应
6 c0 h4 X+ B, t/ ?5 C% q/ _. qColumn factor, 列因素1 ?4 v D* H( x4 i Y
Combination pool, 合并
* }+ `# j; \" nCombinative table, 组合表! Z: E9 V5 x, A! z6 U/ D c, p
Common factor, 共性因子
/ h7 h5 |- Z8 r4 X/ s5 @Common regression coefficient, 公共回归系数
# @% r/ x6 k+ U4 v7 I8 `Common value, 共同值 `, y. X8 L! P: S& u" s* v
Common variance, 公共方差
! ^+ h9 n1 G* V. f$ k5 W/ WCommon variation, 公共变异
; r5 z7 Q) L# F6 ~# h. c0 SCommunality variance, 共性方差9 r& l( l2 y& ~* Q* H
Comparability, 可比性( N( T+ |2 K' ?0 t4 u$ ?
Comparison of bathes, 批比较) c3 B+ c5 s; I9 i# T& [+ N# v
Comparison value, 比较值4 G" T! M( S- x( r/ N* `- ^
Compartment model, 分部模型
- _2 a2 j, t9 t. Y6 XCompassion, 伸缩- k: G/ i; Q: }* g/ b
Complement of an event, 补事件* Y. C( ?) g7 S
Complete association, 完全正相关
+ r# Y+ t- g- J3 f7 XComplete dissociation, 完全不相关
4 A: P0 A* [+ R UComplete statistics, 完备统计量
' l9 w' Y$ `$ d/ ^% tCompletely randomized design, 完全随机化设计, N) F9 U" Y) }! o7 j
Composite event, 联合事件
/ Z* ?4 ?9 x8 r! Y, [Composite events, 复合事件
) k- O: P8 Z# u2 ~4 N- |8 @Concavity, 凹性
, f1 g, P2 W( e6 S: \4 eConditional expectation, 条件期望3 Y* `4 P% @" O- C8 H# j5 B
Conditional likelihood, 条件似然1 R; z( C/ Q0 \3 N6 `8 s5 K3 T
Conditional probability, 条件概率+ N6 o& b+ D2 b1 J* L( u
Conditionally linear, 依条件线性1 @7 _6 T% V. P) w/ W! t7 z0 e
Confidence interval, 置信区间' x. k. a7 E( o* z
Confidence limit, 置信限
, O: {7 i, i7 VConfidence lower limit, 置信下限
5 K4 Y; h" t7 G: tConfidence upper limit, 置信上限" }! }% Z2 d( M. S2 s q
Confirmatory Factor Analysis , 验证性因子分析
& L( i& `! H, N; Y5 J5 y$ SConfirmatory research, 证实性实验研究+ W+ ^1 s! k4 `+ b, H- e" _
Confounding factor, 混杂因素
# C: ?' s [( y3 D0 [Conjoint, 联合分析
5 f/ b) K3 G9 I3 TConsistency, 相合性
" I& B# R! S7 P/ W1 T4 ZConsistency check, 一致性检验
* X8 Y; d( _! a6 RConsistent asymptotically normal estimate, 相合渐近正态估计1 X( Y/ s P) u8 o/ j
Consistent estimate, 相合估计. M ^$ v' \* N, P. A3 ~0 O
Constrained nonlinear regression, 受约束非线性回归
1 ?/ o+ _3 ~, v9 O) j& _$ IConstraint, 约束
9 ]* ]$ U7 i0 Y! nContaminated distribution, 污染分布
, N! Q% u- r! n& r) c& S0 b' A, R lContaminated Gausssian, 污染高斯分布, s- S" y* H/ P# p: { N
Contaminated normal distribution, 污染正态分布
- P8 B/ e# D, o7 QContamination, 污染" h l: q4 x+ d1 p8 j
Contamination model, 污染模型
3 V+ z% E. K6 t, J' I. hContingency table, 列联表$ b- Y; I8 Y8 ?2 J+ R k5 P) a+ {
Contour, 边界线6 B1 K q9 T! T' @
Contribution rate, 贡献率! i7 `0 P' `8 B8 y) c8 z% \
Control, 对照
; b4 p, ] P; {5 ^9 ]Controlled experiments, 对照实验( x3 s, V" w* h, E" {* f
Conventional depth, 常规深度
8 A* a* x5 Q& }Convolution, 卷积& o! _# R6 U5 Y6 P0 {
Corrected factor, 校正因子
# J% E) y6 Q7 @, v' N; fCorrected mean, 校正均值9 W5 D- C1 H4 f) v! a9 s* a
Correction coefficient, 校正系数
, _: o! K( ?+ t0 A/ QCorrectness, 正确性2 x0 }8 e! w. R% e
Correlation coefficient, 相关系数2 R4 @" J, E5 [' T% V
Correlation index, 相关指数
( `, r5 W( ] ^Correspondence, 对应
x% M3 ?5 p! hCounting, 计数
2 V; f7 _! }4 S0 f4 ]Counts, 计数/频数! Q, [, x+ M k' v! [ t
Covariance, 协方差
( Q( t8 Y( g, A f* HCovariant, 共变 3 t. r+ R* |4 L3 C9 B* ^; N
Cox Regression, Cox回归
/ V+ {) Q! `3 \; eCriteria for fitting, 拟合准则5 d: h/ C9 I; B4 I8 t8 T
Criteria of least squares, 最小二乘准则" y) k1 h6 n- M% s) O; z3 j8 |$ [
Critical ratio, 临界比) q a5 Y- p( @
Critical region, 拒绝域
' Z Y" Z' }8 u. n7 QCritical value, 临界值5 S9 K/ n8 [, T: l
Cross-over design, 交叉设计
1 o7 d* O9 _$ ^! c2 S" H5 ZCross-section analysis, 横断面分析
6 E0 Q% d. ~; l( o& l! v& KCross-section survey, 横断面调查7 M+ L( X' ^0 f
Crosstabs , 交叉表 3 _" M" V9 c! E4 C# g) o
Cross-tabulation table, 复合表3 L% u9 @" b4 ]! Y# w! \
Cube root, 立方根 w! k# o" b0 Z% V; D, q) M
Cumulative distribution function, 分布函数/ J7 |9 w: ?# q. d) ^
Cumulative probability, 累计概率/ G' _/ S% C) M2 \& L' a; k; d7 Y5 `
Curvature, 曲率/弯曲0 {$ N, T% ~6 D& M1 t
Curvature, 曲率0 N0 L( ~/ n& z$ p( ]2 E# z
Curve fit , 曲线拟和
: }9 t# c/ ]7 f$ YCurve fitting, 曲线拟合
3 b7 P+ J2 _6 ]1 f9 M! _2 YCurvilinear regression, 曲线回归9 H" `+ C* v+ e, b/ ~
Curvilinear relation, 曲线关系
7 G& @$ @' P- M7 {8 ACut-and-try method, 尝试法1 q3 r' q! J1 ~5 c5 I( i
Cycle, 周期
( v7 y6 d; F' Q; z( ?0 M) |+ B/ _Cyclist, 周期性* k; }1 Y6 Y T r2 F$ E
D test, D检验
2 `$ R9 k5 X8 k' RData acquisition, 资料收集+ s! j1 ]! E2 _* d
Data bank, 数据库
. \: i8 U' o% o& t8 d: YData capacity, 数据容量' N4 H& I V; S" h. P. G: c
Data deficiencies, 数据缺乏
, b+ ]) j+ D# _3 dData handling, 数据处理" p# Y; I- @* t
Data manipulation, 数据处理
( U0 a5 ]' G; y8 O3 P; kData processing, 数据处理" Q. M9 V: L6 x& x5 H
Data reduction, 数据缩减
2 f# ]4 l* h6 R. k; F) y4 w6 k( p6 oData set, 数据集7 i& s! [- R" X6 r+ P
Data sources, 数据来源
+ ?* i7 |. n: L9 FData transformation, 数据变换' L0 l' S, ?3 O/ C _4 Z
Data validity, 数据有效性% l: X+ {5 M' n2 f+ g( @& p
Data-in, 数据输入
$ c) K- ~ r/ x2 `2 VData-out, 数据输出% \' p2 Y' N3 g, D% e4 U7 P+ h
Dead time, 停滞期& m' |- g0 t/ i( G+ b# S9 y: J
Degree of freedom, 自由度
1 H) Q b3 \$ q4 ADegree of precision, 精密度; ]4 ^, S* u" }% d
Degree of reliability, 可靠性程度
4 Y8 r4 x. D% v* B( l( W' ~6 T9 [Degression, 递减9 h. u5 s5 p" A
Density function, 密度函数; j- V* Z9 _0 b! m
Density of data points, 数据点的密度* ^- ]( a+ T8 q1 Q9 R& T
Dependent variable, 应变量/依变量/因变量9 t# l1 Q1 j9 P/ r/ _: U) R
Dependent variable, 因变量
7 X6 L6 ~# c# b A* ]. [! U) t" GDepth, 深度
, Q: [$ ^1 d! N* Q/ tDerivative matrix, 导数矩阵6 R! z4 k7 C7 D2 j. H" V
Derivative-free methods, 无导数方法; Z0 g& P* {* x: R
Design, 设计. p; r. r' f ^- A' ?/ ~& J. m
Determinacy, 确定性
- S9 M7 H- G) v, T; U y- H+ _Determinant, 行列式
i# U/ N' e. o; A- p: yDeterminant, 决定因素
. i$ b- h0 ^: P3 UDeviation, 离差
1 y+ Q: f9 O$ e; u3 R/ Q' T7 kDeviation from average, 离均差0 Z, v6 w6 f. t- S% B
Diagnostic plot, 诊断图
9 \6 p* l' S& L) y7 T/ z! I, QDichotomous variable, 二分变量& v& m! z. I- B2 O: H
Differential equation, 微分方程) U) b% j- i0 n1 g
Direct standardization, 直接标准化法
0 [9 ?3 ^6 v2 r2 dDiscrete variable, 离散型变量: D' _$ `" a5 C7 Z5 X, C% ~) o
DISCRIMINANT, 判断 8 s, a1 w2 V$ U( v& O
Discriminant analysis, 判别分析
2 m) K$ t8 u, C. ADiscriminant coefficient, 判别系数
& A' B2 y; T/ C& ~& ]* I. ^5 ]Discriminant function, 判别值$ X& x- z5 k3 g9 p/ m7 I
Dispersion, 散布/分散度, l; l& j' D& x
Disproportional, 不成比例的0 V- a% q7 u8 P
Disproportionate sub-class numbers, 不成比例次级组含量" V8 k0 F; [7 a/ ]. n; f
Distribution free, 分布无关性/免分布
9 d3 i5 R: c. F' ]/ H: R& SDistribution shape, 分布形状
7 c$ _$ M( f0 m" T! q" bDistribution-free method, 任意分布法! p3 N4 u6 c; P
Distributive laws, 分配律
4 a( |- `, }! j4 s- ~Disturbance, 随机扰动项
' d; Q- f$ Z+ r9 g$ FDose response curve, 剂量反应曲线% G& ^+ K4 a# r; C
Double blind method, 双盲法1 [' N( j2 J# {) I- k; g: h
Double blind trial, 双盲试验
' H( P% s0 S0 J6 c' {! X+ hDouble exponential distribution, 双指数分布! I& A8 G2 ?6 I7 Z, \ H
Double logarithmic, 双对数
' Q* n& b2 ~) O& ^! wDownward rank, 降秩
& n) H3 f. t5 VDual-space plot, 对偶空间图+ Y/ ~& w& n. ]: x+ c) q
DUD, 无导数方法+ o, r! r8 b* H
Duncan's new multiple range method, 新复极差法/Duncan新法7 R' H. n2 h7 I" K( q
Effect, 实验效应: I) S9 M4 L6 \/ r
Eigenvalue, 特征值6 M4 o9 {4 g" E) \6 v5 r' y
Eigenvector, 特征向量5 [! s- H1 c# o2 [! J
Ellipse, 椭圆' g: q) q& i! f0 h9 J+ p1 A" e
Empirical distribution, 经验分布5 {8 \2 S( r5 h. f( w6 E
Empirical probability, 经验概率单位% Z& x9 p: S/ _8 z' n, \3 f4 E
Enumeration data, 计数资料: y- o; _1 H( Z+ W5 Z! C9 C
Equal sun-class number, 相等次级组含量% R% v' m( e3 a( L
Equally likely, 等可能& J$ |( S" D- H4 t
Equivariance, 同变性
* t A, F U. `Error, 误差/错误+ o5 K- @) U5 \! y
Error of estimate, 估计误差
m3 G! d n4 ?5 a& e$ ~Error type I, 第一类错误
: E& w, }) `% O0 Q3 BError type II, 第二类错误
/ K4 q# @* ]& ` }9 zEstimand, 被估量/ N9 L/ y6 Z. A
Estimated error mean squares, 估计误差均方4 d+ k/ h1 P. O& a% o
Estimated error sum of squares, 估计误差平方和! o% Y" ? \% x7 K
Euclidean distance, 欧式距离
3 C7 U' X) e5 T$ d7 G( Q- jEvent, 事件0 F6 R% W$ I+ c N! O' K6 H
Event, 事件2 C F p. o4 J% I) r8 p9 o. F
Exceptional data point, 异常数据点
9 I8 A4 J& H. ?7 M. i; eExpectation plane, 期望平面+ [0 I' V- N& w5 ^) ]
Expectation surface, 期望曲面
3 o* T) ~: N' ~6 L# p* [6 lExpected values, 期望值, s+ r2 x8 d5 F0 q% t6 c: m
Experiment, 实验
* Q6 B- }$ H$ n) x1 kExperimental sampling, 试验抽样4 @* m* T' D7 m9 B9 u
Experimental unit, 试验单位* q }' j- w! s* P, k
Explanatory variable, 说明变量
, L! b% z1 K( Z0 Q" kExploratory data analysis, 探索性数据分析
8 E0 M& `- |9 I& fExplore Summarize, 探索-摘要
. y% }# h% d# E% G( ?6 C2 `/ eExponential curve, 指数曲线- U7 X4 Q' D; o' ? g
Exponential growth, 指数式增长 d5 O( Z5 Q6 e
EXSMOOTH, 指数平滑方法
: k! i' F/ _" o' z* v0 [Extended fit, 扩充拟合; m% h9 [- I" l/ N" X! p5 \
Extra parameter, 附加参数% p) X/ I: V( c
Extrapolation, 外推法
4 U( ?5 ~- r' H) x) E5 @Extreme observation, 末端观测值
- I- O7 f8 f6 LExtremes, 极端值/极值& T4 ?3 L& M( Z7 M4 n4 [, m k
F distribution, F分布! k) U3 g z. P F; W
F test, F检验) s7 Y3 f" N7 K" C) e
Factor, 因素/因子
2 M0 h) W" I: [, `$ f" x5 [Factor analysis, 因子分析
6 N, ^( f& L6 v" u( f8 zFactor Analysis, 因子分析4 Q3 [7 ~+ G# E! c5 x- p
Factor score, 因子得分 : o( C7 g) z$ a1 z
Factorial, 阶乘# ]1 w2 r& w: Z
Factorial design, 析因试验设计
+ M( Y6 U: A5 F+ E8 U' P- pFalse negative, 假阴性1 S z2 |( k: V. _& W8 x' E, i7 l
False negative error, 假阴性错误
/ `! X( J( b) P" ]" \0 q( uFamily of distributions, 分布族
6 L/ ^, H! r( qFamily of estimators, 估计量族9 v! o5 R9 K9 s: v
Fanning, 扇面+ ?, g" E1 k4 B/ |- O1 z
Fatality rate, 病死率7 h: u! V/ K3 z! Q$ q
Field investigation, 现场调查0 M, u! a2 q3 c& l6 \' E) k1 j7 d
Field survey, 现场调查( h% f* W- Z0 k" t4 m& j
Finite population, 有限总体
' d9 ^+ h6 ~# A# ^Finite-sample, 有限样本 A0 E3 ]1 P, s6 l' O
First derivative, 一阶导数" Z" C+ M$ P! p$ [- e: A
First principal component, 第一主成分
9 i* i% t3 @$ j: s2 o! v" cFirst quartile, 第一四分位数
^; }1 k& H- Z/ NFisher information, 费雪信息量
2 E) C4 @, t1 R& [0 fFitted value, 拟合值
/ e% i$ b: E% p* v# NFitting a curve, 曲线拟合% T) `, O* p) N7 I5 I4 n" V2 i- Z
Fixed base, 定基1 ^8 b' r; y" R" p/ A* _
Fluctuation, 随机起伏6 v U6 J; Q3 g# e1 C
Forecast, 预测
! R1 v# `# S6 C5 p# f% d# TFour fold table, 四格表
9 ?! G' T" N( `3 DFourth, 四分点
- X9 ]5 i! Y5 ?4 W% MFraction blow, 左侧比率" z" N p0 h: v/ ^: R
Fractional error, 相对误差2 o* R& g8 I* v. A: Q B) M$ I
Frequency, 频率* P3 s' @' P; o+ Q" {$ z
Frequency polygon, 频数多边图7 N% R2 b0 L- @9 y- }% Y8 S
Frontier point, 界限点
; W7 v4 t& j$ `4 u' p* r, QFunction relationship, 泛函关系
d, r1 q- a0 J8 w! f, fGamma distribution, 伽玛分布
2 X5 O" {) ?; DGauss increment, 高斯增量8 K+ d# d1 }; R2 {; U
Gaussian distribution, 高斯分布/正态分布4 k- F0 |' K3 n0 x
Gauss-Newton increment, 高斯-牛顿增量& g0 K9 f; K. u6 d+ y9 T( Y+ o8 E, `
General census, 全面普查
+ P# R0 \9 {! H7 m' ?1 PGENLOG (Generalized liner models), 广义线性模型 5 J2 R& q6 c* a: a
Geometric mean, 几何平均数0 J, p* g. E. a
Gini's mean difference, 基尼均差
& y( ]/ y% T4 |% f8 cGLM (General liner models), 一般线性模型 a! [$ i# ]# q0 w& L- A- Z
Goodness of fit, 拟和优度/配合度8 U. |9 j$ Z, P5 l
Gradient of determinant, 行列式的梯度
% l8 x% U( s" E, D# U/ G) D6 K2 HGraeco-Latin square, 希腊拉丁方$ U. M1 J$ i+ N5 c
Grand mean, 总均值
# S" G; y9 E0 \$ h: w8 f" j7 A# QGross errors, 重大错误
4 L$ y- [! Q8 T3 o- s( dGross-error sensitivity, 大错敏感度: n) j5 [# q" I2 `+ I1 ~) t5 S
Group averages, 分组平均9 M( n A' L' R \+ k# i5 q n
Grouped data, 分组资料( Z; l2 m5 l& N, C
Guessed mean, 假定平均数: m% P- d0 ^8 J1 n2 o
Half-life, 半衰期- }% J. y9 {! O) r, T
Hampel M-estimators, 汉佩尔M估计量
% T& B1 G/ I( H! dHappenstance, 偶然事件
0 |7 V% J0 O' `- n+ }Harmonic mean, 调和均数- y9 V( a) I* \4 ?$ `, j Z/ h
Hazard function, 风险均数6 @) I2 F) U( _- b
Hazard rate, 风险率
3 ]9 x9 D: c! u. K7 K) D9 w- A! D) `Heading, 标目 " g( D1 G* H% O) N B" o- M' |
Heavy-tailed distribution, 重尾分布0 B' Y) V. @" k; Y1 x
Hessian array, 海森立体阵
+ V2 x1 e: g" M% YHeterogeneity, 不同质' }* u V/ V3 L
Heterogeneity of variance, 方差不齐 ! b- ~2 j: C. ?1 E2 x& m9 b) V, w
Hierarchical classification, 组内分组
+ `- `1 Y2 N; x% p( ZHierarchical clustering method, 系统聚类法
}1 U2 w/ _! u" `0 b- F1 ?9 FHigh-leverage point, 高杠杆率点
5 u8 D& i) `# {HILOGLINEAR, 多维列联表的层次对数线性模型7 O6 `4 A, M9 z3 N
Hinge, 折叶点
7 t, s2 Z% y ]3 \! a jHistogram, 直方图
. x& c( y2 F! G- NHistorical cohort study, 历史性队列研究 ! k/ c: h- K& d0 y& I. E
Holes, 空洞
1 R1 R& D e! A/ w4 ?HOMALS, 多重响应分析" q; V2 A; P @# C) I* w
Homogeneity of variance, 方差齐性
8 @3 w2 v. ~4 l1 {* d7 @ K- X% `Homogeneity test, 齐性检验& ]/ x, r/ N. i: k5 ~7 ]
Huber M-estimators, 休伯M估计量
$ K z3 g) W5 v \5 kHyperbola, 双曲线
8 `% t0 m5 \; Z" E/ X$ O' [$ xHypothesis testing, 假设检验/ z+ `2 |5 B; Z6 k
Hypothetical universe, 假设总体
# @& M6 g+ Q' o) b1 P0 \9 B; ]+ kImpossible event, 不可能事件! x) e; [5 t* Z
Independence, 独立性- g7 E* i e J- G2 Y
Independent variable, 自变量# ^; v/ f* R0 G3 r
Index, 指标/指数) \# _/ b! k$ O1 }) q
Indirect standardization, 间接标准化法
; ^9 H. Y4 k" XIndividual, 个体% a% W! e) I( v9 G( G3 N0 ]1 u" I
Inference band, 推断带
( z1 G3 L) n0 f* l, M0 k1 ~Infinite population, 无限总体
: ]. F' v& N+ S8 t9 H+ {; eInfinitely great, 无穷大
1 t: Z' ]" m. Y- f# t* n7 GInfinitely small, 无穷小
! s) J$ \7 w1 k' p% G0 SInfluence curve, 影响曲线9 @) B) ? P8 f0 |
Information capacity, 信息容量 w) U* a& Y- s1 r
Initial condition, 初始条件5 b; i9 l! N% ]- k o+ l
Initial estimate, 初始估计值
) G. y7 q: ~* G$ a( kInitial level, 最初水平' T/ x: |" b- W `" x
Interaction, 交互作用 t+ U' C2 f; x9 ?: }
Interaction terms, 交互作用项
- P0 k% c' t9 R) EIntercept, 截距4 w' }7 M) n4 F' H Q
Interpolation, 内插法8 ?7 z" X9 @' s+ O
Interquartile range, 四分位距0 o: r! w; T3 [+ C4 g6 \2 `7 n8 p* o
Interval estimation, 区间估计6 ?) c, H+ D0 j% U J# E8 e1 B( B, `
Intervals of equal probability, 等概率区间
& V5 \) R! D I% H0 \0 h( ^Intrinsic curvature, 固有曲率4 B! W) q$ R) |
Invariance, 不变性
- a! F" ^- Z5 h8 SInverse matrix, 逆矩阵
' Y+ k) V6 c: h; P5 a: g) D7 KInverse probability, 逆概率( U, \: L# R. F. m& z2 e _
Inverse sine transformation, 反正弦变换# a$ _) U, K7 W; Q
Iteration, 迭代
$ Q2 T' P5 ^5 l, ^ b. K' RJacobian determinant, 雅可比行列式
$ `) n, i( a5 G" b: EJoint distribution function, 分布函数
6 ~( F L$ M2 G1 Y5 sJoint probability, 联合概率0 m/ d4 [9 d8 `6 L9 p/ m n5 c+ K
Joint probability distribution, 联合概率分布2 x4 s V2 t* a9 d6 W1 _4 j
K means method, 逐步聚类法- N. S W; }) E: M
Kaplan-Meier, 评估事件的时间长度
! G. w9 a' Y. z3 AKaplan-Merier chart, Kaplan-Merier图; J' z' e/ I0 c) W. v
Kendall's rank correlation, Kendall等级相关2 t5 E: f) L* V2 s; O6 N
Kinetic, 动力学
) W) Y" @$ }& bKolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验 x& B/ n$ \3 D* C! b$ i3 f
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验( G2 H7 C# z* L( v
Kurtosis, 峰度
5 h4 K8 Q5 R9 f4 d' S9 o/ TLack of fit, 失拟7 V. `2 W' n' ], o* O# J
Ladder of powers, 幂阶梯
6 Z Z' F) O1 ]* u; M% U/ KLag, 滞后
$ P3 t: y. r* q8 o/ H. rLarge sample, 大样本
# U6 G: C2 Z8 f9 Y" ^Large sample test, 大样本检验 I7 M3 I7 M$ t1 }, C
Latin square, 拉丁方, C* }1 R1 [7 e$ V
Latin square design, 拉丁方设计
3 z+ k) X1 l2 p \7 O5 E5 i6 X/ qLeakage, 泄漏
/ n* y: G& x" KLeast favorable configuration, 最不利构形
3 A- @; }* B4 _5 ^% tLeast favorable distribution, 最不利分布
, b% z0 W) |1 a2 j% i _8 hLeast significant difference, 最小显著差法& L9 k% S: j1 k @- o% t: B7 O
Least square method, 最小二乘法
( ?4 }# y' ?# d8 Y6 j8 B. iLeast-absolute-residuals estimates, 最小绝对残差估计
# U7 d& F0 r6 f- \- VLeast-absolute-residuals fit, 最小绝对残差拟合
$ p/ m, g1 o, ^8 ]$ f/ f9 `" @2 fLeast-absolute-residuals line, 最小绝对残差线: Z2 B6 K1 ~( r* M7 b, x* D) ?
Legend, 图例
: U) v8 `) j, W$ v$ l+ S9 ^L-estimator, L估计量) S* q0 }) I. K. I/ P+ w, R
L-estimator of location, 位置L估计量
6 b1 B( I* _2 [( BL-estimator of scale, 尺度L估计量
" u& w, r: l; xLevel, 水平
8 K6 v2 `. y. P1 o3 }! Q$ V/ nLife expectance, 预期期望寿命
; J0 C$ O4 a. u6 D9 I( `Life table, 寿命表
4 T T3 g4 E1 ^% U& ?5 x) b: lLife table method, 生命表法- h. M8 y. x* O b$ O
Light-tailed distribution, 轻尾分布' Z9 N( T6 b, Z+ @
Likelihood function, 似然函数
4 f# U( [; c' D# `& [Likelihood ratio, 似然比2 N! x+ D; h$ C1 F
line graph, 线图9 y- j% R" J7 M) g$ v( o! d; U
Linear correlation, 直线相关% R$ _. `; C; L& H5 ^# }- G% j
Linear equation, 线性方程
. {! \8 q8 Q$ ~0 p& }Linear programming, 线性规划4 V X8 s# a& x6 x* d5 C
Linear regression, 直线回归9 U# k2 {! D5 W/ m5 p
Linear Regression, 线性回归& L, B( H1 F; A' c
Linear trend, 线性趋势
% x: u; |; V( h0 o9 L8 F ?Loading, 载荷 9 \! }) D' X. O
Location and scale equivariance, 位置尺度同变性! r3 w' C" q$ I, I
Location equivariance, 位置同变性
5 e* A7 z) i' j/ `- ~Location invariance, 位置不变性
( Z7 ?3 I% h# m3 fLocation scale family, 位置尺度族
1 g5 `& }0 ^: A& l* L5 WLog rank test, 时序检验 2 K. `; k; a( E7 j
Logarithmic curve, 对数曲线: z/ w6 Q f! F$ \( `% F
Logarithmic normal distribution, 对数正态分布
3 m/ m) e. j5 o1 J% B5 CLogarithmic scale, 对数尺度# m% ?4 E; e w& R; ?
Logarithmic transformation, 对数变换- {1 T }- i2 G9 W* h
Logic check, 逻辑检查- N; }3 h( [+ A# v7 j0 D) a8 H
Logistic distribution, 逻辑斯特分布
6 [, s6 N: u, Y3 p# }Logit transformation, Logit转换; X' E3 W! H& k: K" m I
LOGLINEAR, 多维列联表通用模型
9 h* C, N' u, tLognormal distribution, 对数正态分布
$ f# v$ L& t& \4 I- P. ELost function, 损失函数
) j. A& G) b$ ?$ r1 DLow correlation, 低度相关2 d! Z6 ^7 G- w: J
Lower limit, 下限. D& h' W* E9 a3 w% g/ _# G2 v
Lowest-attained variance, 最小可达方差; a' J \. n& G; l4 M
LSD, 最小显著差法的简称8 F# g% P0 b0 B/ O* P/ o9 M
Lurking variable, 潜在变量4 F* n! b) K& ?; b0 J: s
Main effect, 主效应2 T S* V+ Q9 e* }
Major heading, 主辞标目( A# t4 {. Y. I% n* d/ y
Marginal density function, 边缘密度函数) D* \1 V0 M8 M2 v
Marginal probability, 边缘概率) \& j' N. m8 x- i6 S3 ^
Marginal probability distribution, 边缘概率分布9 C; c1 O, B6 }# v0 `( F
Matched data, 配对资料 C( c/ s0 s( }: a6 |4 p
Matched distribution, 匹配过分布* \5 b" n& q& r c& v8 |
Matching of distribution, 分布的匹配# u, }/ c- D8 U8 Q
Matching of transformation, 变换的匹配 z7 p- e8 C2 d) ]- J; q
Mathematical expectation, 数学期望
# u( r$ B$ K' v8 p- t- ]2 E: RMathematical model, 数学模型
4 V) S+ H/ J5 K; rMaximum L-estimator, 极大极小L 估计量# C" s& R6 N' V0 U
Maximum likelihood method, 最大似然法$ d e6 G$ T: L% X/ s6 w
Mean, 均数: x3 q2 _% t- g+ }
Mean squares between groups, 组间均方
3 Y% x% s( e/ ~: IMean squares within group, 组内均方: S+ J% E; _& n0 ~( Y- |
Means (Compare means), 均值-均值比较- n: B( ~( E c, V% q9 P* X3 u
Median, 中位数
9 r% k |3 b3 Z- F6 B0 GMedian effective dose, 半数效量
' t+ X+ m$ r' T' L/ RMedian lethal dose, 半数致死量
, [6 y, n! }( UMedian polish, 中位数平滑; X) d7 P6 \6 e0 t6 N8 h T
Median test, 中位数检验
, M, S& I+ ]3 O. F: x$ yMinimal sufficient statistic, 最小充分统计量, U! R2 c1 U0 i @# j
Minimum distance estimation, 最小距离估计
: r& w- n: ^. `" M& H T5 @* TMinimum effective dose, 最小有效量/ W% E8 X3 g6 B7 k6 x6 c1 Q( k
Minimum lethal dose, 最小致死量8 A4 U# K# m0 f- z
Minimum variance estimator, 最小方差估计量
. I% y: |. d, g& A; j3 PMINITAB, 统计软件包5 f2 S ]1 j' a3 f! A
Minor heading, 宾词标目# {2 M6 q+ t8 G* x
Missing data, 缺失值
9 f Q' A1 {0 p& Y7 m0 ]$ MModel specification, 模型的确定* h& }& `8 ~/ z% A
Modeling Statistics , 模型统计7 Y6 b; ^: w) k6 e/ | A. P g: Q
Models for outliers, 离群值模型2 j, }" u \, C* s! y) K
Modifying the model, 模型的修正
4 Y- E/ I, f+ k' F/ GModulus of continuity, 连续性模" V. C& z4 ^, m- I
Morbidity, 发病率 - K6 S3 N+ c% ^+ t
Most favorable configuration, 最有利构形
1 W6 i& ?0 Z* f; F& ~0 MMultidimensional Scaling (ASCAL), 多维尺度/多维标度; [. O- |, z* t( g9 S+ M5 E. t
Multinomial Logistic Regression , 多项逻辑斯蒂回归
' G! P- G6 m9 _1 rMultiple comparison, 多重比较) J+ u2 Y0 I2 ]0 F3 I# v% o% s
Multiple correlation , 复相关
# p$ G- Q/ K1 C0 g6 @$ @' }Multiple covariance, 多元协方差1 M9 ~4 h7 n6 t3 C
Multiple linear regression, 多元线性回归0 |& u, b' @7 w! E M* b
Multiple response , 多重选项! X A* a' v! n* S
Multiple solutions, 多解
# h2 N0 @+ \0 j7 z9 i" UMultiplication theorem, 乘法定理
& |! W9 d! }3 G h: a+ m# p3 cMultiresponse, 多元响应
8 ?8 T6 m8 h% ^( {, x: E/ t9 [Multi-stage sampling, 多阶段抽样* k9 b- X' s( O$ H0 ?
Multivariate T distribution, 多元T分布
8 _3 o7 A( L. s5 {+ G4 N$ ^Mutual exclusive, 互不相容
1 d! B3 x- g& F. S5 U( d, A1 F3 RMutual independence, 互相独立# D" c3 F4 T; P+ X
Natural boundary, 自然边界* j/ y# h: L2 e! t M
Natural dead, 自然死亡
( a% a# w$ n. Z, INatural zero, 自然零8 \2 e) q0 ~) V
Negative correlation, 负相关7 ]' d# m6 S* o& v0 Q
Negative linear correlation, 负线性相关4 F$ {3 g0 o! ^% _ S' B0 ?
Negatively skewed, 负偏
' \4 h* T, O/ nNewman-Keuls method, q检验: T1 H" U( N* `4 K& K
NK method, q检验* j/ n8 Y8 t' R! q
No statistical significance, 无统计意义7 V4 _" g: ?" s& z, X$ q
Nominal variable, 名义变量' u$ ^% R/ }* P3 k2 M- }% G
Nonconstancy of variability, 变异的非定常性
c+ Y7 j( _3 r* u m3 [' f4 FNonlinear regression, 非线性相关* F0 l# T- v7 N l1 B) p
Nonparametric statistics, 非参数统计
# z' }; F. @* y, u lNonparametric test, 非参数检验
, a# Z, v( G; k' J XNonparametric tests, 非参数检验1 L8 A% l- H! A
Normal deviate, 正态离差% L [5 u! M- f' n. i9 c3 q
Normal distribution, 正态分布
7 g1 K8 J8 L- c$ X$ ?5 ONormal equation, 正规方程组+ S6 d5 S! Q! x! O: Q/ @" A
Normal ranges, 正常范围
% G5 a1 n& I ^7 r& ENormal value, 正常值" n+ N7 [, p1 a( A7 r9 i$ i3 {
Nuisance parameter, 多余参数/讨厌参数
- @1 ^: \% k& o5 C3 q7 ENull hypothesis, 无效假设
$ z7 v' N$ }' z" _( x7 z, a2 NNumerical variable, 数值变量
$ i' ~) y* z4 _Objective function, 目标函数- @4 g+ Z( ]! g4 m
Observation unit, 观察单位! I* ~7 c0 U8 B2 G" G2 e2 l
Observed value, 观察值5 A' [- Y7 Y, R5 t
One sided test, 单侧检验
, ^3 k$ C+ E7 u# |One-way analysis of variance, 单因素方差分析
3 M) x; i$ | O$ S# o: XOneway ANOVA , 单因素方差分析/ t; a3 m* |: d. k7 y; }
Open sequential trial, 开放型序贯设计
* _; B" V& Y4 j; W/ z% {5 \9 wOptrim, 优切尾
! `; O( C4 c9 h9 {; @Optrim efficiency, 优切尾效率
4 T g& j) F) u" y7 hOrder statistics, 顺序统计量7 }" i5 |, _: H3 o* W! Q3 e' U: f7 [
Ordered categories, 有序分类# _, F* x' d. s! o3 `
Ordinal logistic regression , 序数逻辑斯蒂回归8 f3 d+ g/ T B6 J* r( q* @
Ordinal variable, 有序变量
7 s, l- h p' |* w/ n; _Orthogonal basis, 正交基9 g& G V. N! X( `1 z, s4 T! h
Orthogonal design, 正交试验设计- i0 d' F d% s. H, e% e$ J9 _$ w
Orthogonality conditions, 正交条件
- O1 ^/ R% B5 c' OORTHOPLAN, 正交设计
7 W$ D# @% `, a0 Q: O6 W! YOutlier cutoffs, 离群值截断点/ p6 {* d- n& O" D
Outliers, 极端值# e! u" z! ^% D5 d8 w# J
OVERALS , 多组变量的非线性正规相关
( T1 f6 K4 m. ^" k( yOvershoot, 迭代过度; l% d7 |3 `/ O" O+ V" e5 F& p2 x8 B
Paired design, 配对设计
1 ^! t2 ?) X+ o& {0 g) hPaired sample, 配对样本
6 q, S+ v& z+ a! h k jPairwise slopes, 成对斜率
- V, b7 R* E$ [Parabola, 抛物线
% v5 M) C# e. \7 yParallel tests, 平行试验5 M4 m* G& S$ q; Q3 y5 O
Parameter, 参数
- q2 ^ i" R# g" f9 S. ?0 WParametric statistics, 参数统计$ P" P7 b! M' |
Parametric test, 参数检验
8 b+ t8 E ~. C6 o) I: F. O& uPartial correlation, 偏相关
( d4 y) N+ h( E7 KPartial regression, 偏回归% M' a g6 ^' N/ j$ [' K7 v; \
Partial sorting, 偏排序
* ~5 |0 f# T b8 |. r! N d, HPartials residuals, 偏残差: r% j) J8 u7 F- }+ k1 a
Pattern, 模式2 u) O/ ^& P9 N: r4 d! v
Pearson curves, 皮尔逊曲线
$ M- l; G* O9 ?0 E/ ~+ kPeeling, 退层! \3 i( p8 F( X1 g
Percent bar graph, 百分条形图
& d" Y% i1 F' G1 ]/ IPercentage, 百分比7 O7 @3 V. z4 c8 ]% l
Percentile, 百分位数" X( `' A8 x0 q: a! z
Percentile curves, 百分位曲线
/ @& T/ g+ I' W- D2 e% vPeriodicity, 周期性
5 t: w: E7 c# o8 { }Permutation, 排列$ C V4 x, Y; }! p5 g
P-estimator, P估计量/ H) z- T0 t8 l9 \ F0 q1 k
Pie graph, 饼图2 u& h( L# T2 u; D
Pitman estimator, 皮特曼估计量
: g) T5 {8 y( G% oPivot, 枢轴量* x4 u& F9 d! G
Planar, 平坦- ]( h7 H& H1 d( W0 @, I
Planar assumption, 平面的假设
' U$ Z& D v8 K4 aPLANCARDS, 生成试验的计划卡/ l) H' S5 {+ j
Point estimation, 点估计
$ Q% G9 ^& ]) Y% ?0 hPoisson distribution, 泊松分布- l0 M% [# F/ Z; m% ~0 I
Polishing, 平滑2 v6 q5 j" s. m& S& U4 A
Polled standard deviation, 合并标准差. W: \& G, |6 P0 `0 Z
Polled variance, 合并方差, Z. H# s5 \3 D' y
Polygon, 多边图8 p9 J& Y2 ? B4 P/ |3 p9 g
Polynomial, 多项式
% l2 a+ Y& @6 P4 s, ~Polynomial curve, 多项式曲线# m4 q L' t; e, `+ t2 G
Population, 总体
; W- N& J/ u9 b V+ HPopulation attributable risk, 人群归因危险度. \8 {% _! R5 A5 P. X
Positive correlation, 正相关' p8 m& v3 I/ G- b% A/ a
Positively skewed, 正偏: R* x# r, j- e& G
Posterior distribution, 后验分布; c- @ r0 \3 x7 p( N6 u$ G
Power of a test, 检验效能
& V L9 I p/ IPrecision, 精密度
8 s9 y3 p" D; v3 f2 B& {) oPredicted value, 预测值
2 [' G3 W3 H. ^- N3 E. s% C* lPreliminary analysis, 预备性分析
( q: Y" {0 B) ?. R5 k s. RPrincipal component analysis, 主成分分析
, O) G/ i" ]% h; ?& r C* N- dPrior distribution, 先验分布: k# b8 K J' a: U! j, W
Prior probability, 先验概率( o z+ |" U% m$ v; A$ {& h
Probabilistic model, 概率模型
: b& n, y: Q* _- Rprobability, 概率
, n2 N7 i/ |! @$ ^/ Q1 B5 `Probability density, 概率密度
3 D3 G. \& J a$ \! bProduct moment, 乘积矩/协方差
# F5 K9 O* U- r" d6 u+ k: mProfile trace, 截面迹图$ r( [# U% S$ u# {9 p
Proportion, 比/构成比' c& K% c. ~$ f4 [9 `* ]7 z7 D/ ]# z
Proportion allocation in stratified random sampling, 按比例分层随机抽样* v/ |' X# Y$ z$ _0 i- ~
Proportionate, 成比例
6 `. v/ b" x) NProportionate sub-class numbers, 成比例次级组含量
1 b" [# X6 a0 b/ M! GProspective study, 前瞻性调查
; ^' Q+ Y$ ]: R" NProximities, 亲近性 - v. ]6 @2 t# ?; U9 I: b
Pseudo F test, 近似F检验
9 V/ k* c0 I5 D, CPseudo model, 近似模型
3 R$ S# Y+ C( y5 {+ z, I& pPseudosigma, 伪标准差
3 g* ~! K/ i f% G6 a9 l( }' v9 LPurposive sampling, 有目的抽样+ s1 Z2 j" Z: _. h2 k3 ?
QR decomposition, QR分解* i3 {: A: }0 `9 O$ _+ F( @9 d4 x
Quadratic approximation, 二次近似
0 k, K! E# V5 G6 ~# p KQualitative classification, 属性分类9 z3 g3 T- v/ Y4 E2 f
Qualitative method, 定性方法 D: v: H4 }. F7 k
Quantile-quantile plot, 分位数-分位数图/Q-Q图
, K" F* z1 o# i- C- X" X. g' cQuantitative analysis, 定量分析
- n1 s2 z. ]6 h$ u0 h, IQuartile, 四分位数
% I1 |' g4 p1 e4 OQuick Cluster, 快速聚类
$ f. O+ @8 o5 k# N" h! B9 }# T% VRadix sort, 基数排序9 [! ]8 {- @/ T J
Random allocation, 随机化分组1 ^$ a" P3 p3 u' E! G8 R( J- U& J
Random blocks design, 随机区组设计8 g5 i! s( A, D+ W1 J# T2 E( [
Random event, 随机事件1 `! e! S$ m1 s t {; R
Randomization, 随机化
4 q* |: z/ L, w; x! jRange, 极差/全距5 X) X( V y( A* {' C* I: L
Rank correlation, 等级相关
( c$ ]( ]- a$ x8 I5 Y2 J+ ?Rank sum test, 秩和检验
4 v6 q; Q9 D. X( a rRank test, 秩检验
- | F! o$ S9 M, ?5 q( V& m* oRanked data, 等级资料
& J- @ J5 q f' ARate, 比率8 ]9 e( ]$ X5 i" P5 Q& u0 E& }
Ratio, 比例+ s1 Z! y. M( |& |) a
Raw data, 原始资料
: Z, r2 q8 r# bRaw residual, 原始残差
5 e5 y; Z+ O7 J+ g9 t+ ~. WRayleigh's test, 雷氏检验: P( i, ^0 C# g# {9 u+ P
Rayleigh's Z, 雷氏Z值
: X* `2 H/ R$ A/ AReciprocal, 倒数
2 k& y/ W' {( j8 q: p) v$ ?7 FReciprocal transformation, 倒数变换
, I6 @# [9 W7 V! n @& }Recording, 记录5 d, a& g' }( }6 ]5 A1 V
Redescending estimators, 回降估计量7 h+ O: x. }* R+ V' n/ M
Reducing dimensions, 降维! U+ G" S) A4 f' n
Re-expression, 重新表达
& Z! ]; K4 f3 ~6 B# cReference set, 标准组8 U; f5 T$ ]: q
Region of acceptance, 接受域# \: f2 @# q5 y( n% X5 r( [, G, y
Regression coefficient, 回归系数* o/ v: n5 L u' a! \ G$ b6 b
Regression sum of square, 回归平方和& a6 p+ G% I: b6 H- y# [
Rejection point, 拒绝点& K! s* w* t% ?
Relative dispersion, 相对离散度7 m6 Z6 T) _# f, f* I6 Y! X
Relative number, 相对数, @' r# H* f. m6 F6 v8 w8 V
Reliability, 可靠性# a5 K" x) D# R& U& \7 ?& H9 f
Reparametrization, 重新设置参数. p: c% k5 G. E
Replication, 重复- t- o& f' W1 W1 ^: J: W" p
Report Summaries, 报告摘要3 @+ s% j0 [/ u
Residual sum of square, 剩余平方和" E& Q! h$ Z# C" s' u
Resistance, 耐抗性3 ], P; N; N- O( Z, r2 E
Resistant line, 耐抗线
% j& w. r: M- C9 oResistant technique, 耐抗技术
" h" B0 M, l3 |. U! GR-estimator of location, 位置R估计量" v5 { B& e( ]0 R+ h, O- Q7 M
R-estimator of scale, 尺度R估计量# N( k0 h& U A; e( x
Retrospective study, 回顾性调查6 S' p( Z1 L3 M. |8 A
Ridge trace, 岭迹
" a. u' y$ g, r" z; X& c# O. bRidit analysis, Ridit分析
@- }. G, c& @: ?+ RRotation, 旋转9 ]3 w9 U, @4 [0 x" k- s) h4 i
Rounding, 舍入
' }$ L# B0 ^7 H! j# CRow, 行2 k7 ~0 F! [: @/ j; `& ^% j0 G6 z
Row effects, 行效应
' W- T) Y9 u3 D: b4 y) \% sRow factor, 行因素$ T K$ u+ B% D
RXC table, RXC表
; U1 _. [1 g" |$ [- x4 RSample, 样本
m( T9 s6 \5 ]6 M% }Sample regression coefficient, 样本回归系数
) o/ s. q8 u1 a0 ~5 H2 m3 ZSample size, 样本量
3 ~, n2 }' Y( W1 {Sample standard deviation, 样本标准差% X( D0 r. d4 R% k- d9 D+ U5 f+ F! u
Sampling error, 抽样误差6 ~; K* ?( y" L) J G; G
SAS(Statistical analysis system ), SAS统计软件包
$ N# Y0 {' T3 s5 k& SScale, 尺度/量表
3 d4 s& d/ g# m+ W$ }Scatter diagram, 散点图/ F, `5 Z- w; }4 D: w6 u/ `
Schematic plot, 示意图/简图) q3 X& H$ Q1 [- f9 Y; L
Score test, 计分检验) C+ b. g' b4 `( Y! I( j
Screening, 筛检# F4 U7 o- }- }, I3 A% o, B" t; }
SEASON, 季节分析 2 i/ ~7 q7 Z ]; G# o7 N
Second derivative, 二阶导数" U# I4 U- |" k; Y6 x8 d
Second principal component, 第二主成分
! F0 _! z1 q" M- [; PSEM (Structural equation modeling), 结构化方程模型 " H. }" q' E8 Q Y3 i# h# u5 J8 s
Semi-logarithmic graph, 半对数图
5 \" b3 \3 c0 n& E @Semi-logarithmic paper, 半对数格纸8 q9 L* [7 t8 r) x c4 X
Sensitivity curve, 敏感度曲线
) W7 r) ^% X, N* v6 RSequential analysis, 贯序分析9 Q9 E, @. u2 ]6 f$ c9 \" c
Sequential data set, 顺序数据集7 y- U& ^* I( C3 n1 z: c/ Q6 s$ u5 d
Sequential design, 贯序设计
1 j& G' p5 ^9 F( SSequential method, 贯序法; l) l; j* \. p+ n. N$ d# F6 c
Sequential test, 贯序检验法( O% u: f$ Z+ T4 b9 u
Serial tests, 系列试验+ U& v2 X' p. q* C6 k: p) a8 n: G9 x3 n
Short-cut method, 简捷法 8 Z# n3 ~5 s# @; I. L$ `0 v9 Q% k8 [
Sigmoid curve, S形曲线" F6 o% P' Y' i ]' ?( e7 a* ~* q
Sign function, 正负号函数) c! @0 q" S7 I; j; Y; @
Sign test, 符号检验0 C' P- k1 j5 E% N# P
Signed rank, 符号秩# J3 Z1 x0 U% p$ X7 [
Significance test, 显著性检验& t8 U$ S) \) \6 Y
Significant figure, 有效数字 N) g6 K. q6 B
Simple cluster sampling, 简单整群抽样
5 q" r4 V+ N! z- w, SSimple correlation, 简单相关8 G1 Z! W+ }- ]4 B8 k8 R o
Simple random sampling, 简单随机抽样
; \9 f9 N0 Q& G3 h! ` ~ ^Simple regression, 简单回归
( ?% `1 C8 S" a; q+ qsimple table, 简单表8 c( ^. ~+ F' b6 h4 q
Sine estimator, 正弦估计量
O7 C# z2 q" Q5 w0 A3 Y% pSingle-valued estimate, 单值估计
: y& o; Q) y3 ZSingular matrix, 奇异矩阵
# Q3 ]8 g3 j3 d5 ]; ~4 RSkewed distribution, 偏斜分布6 i$ c6 p0 t5 Q8 `" e, U
Skewness, 偏度- ~: F/ z# } C/ O4 y( E
Slash distribution, 斜线分布
+ z3 ]' ` U" T; dSlope, 斜率
+ ~ Z: D& j" O5 y$ aSmirnov test, 斯米尔诺夫检验
. ]* _# i' _! |7 Q- b8 b$ ESource of variation, 变异来源* e: |6 D$ N) r% K
Spearman rank correlation, 斯皮尔曼等级相关
: `& X$ z1 e* A- M8 T6 _) PSpecific factor, 特殊因子) x) a5 K. l$ U: H% e
Specific factor variance, 特殊因子方差+ R' u: A( K* T4 t
Spectra , 频谱
/ ?6 L& D9 [3 t" cSpherical distribution, 球型正态分布
o: Q# F+ s9 k' Z v, y$ x( rSpread, 展布8 d9 d0 f. h Z5 h8 p
SPSS(Statistical package for the social science), SPSS统计软件包& B* ]+ p5 V5 d% f! ?/ P+ a
Spurious correlation, 假性相关2 z( c2 K$ L6 F
Square root transformation, 平方根变换/ P! ]' f, Y. c- u8 F, C/ \) I, B6 A
Stabilizing variance, 稳定方差( o! M E; Y1 o5 R
Standard deviation, 标准差9 e* O9 _, R1 a* W
Standard error, 标准误
% r( \3 u. @. R9 h6 J3 M* lStandard error of difference, 差别的标准误
+ q% d$ j' w( n2 `4 q* JStandard error of estimate, 标准估计误差8 U" C1 L. S' F' f t
Standard error of rate, 率的标准误
" r# @; E9 o" `0 P3 E; PStandard normal distribution, 标准正态分布
; a9 @6 i! e- d4 J4 l* FStandardization, 标准化6 G* r6 g( D& }9 S
Starting value, 起始值' D% r; D$ i) b
Statistic, 统计量8 k+ H5 H1 B1 W: F0 A( C
Statistical control, 统计控制8 G. J: g" e; g
Statistical graph, 统计图
6 b6 \% C: m0 d' F9 {% |Statistical inference, 统计推断
/ I& D. J. x9 d: ]+ O( \. O0 BStatistical table, 统计表" q4 w( c. v4 l/ c+ \8 P
Steepest descent, 最速下降法
3 b8 L5 N- @- M, k. EStem and leaf display, 茎叶图0 b0 `1 K: k2 Z- I$ W6 b' g- \) }
Step factor, 步长因子
: e5 [3 f! Y0 W) s6 b0 ?Stepwise regression, 逐步回归
* O5 ~( O( c+ E9 s, S$ rStorage, 存/ L+ Z: n9 O( z) C9 z9 j: j
Strata, 层（复数）5 J7 `2 g6 z1 ]
Stratified sampling, 分层抽样
$ q5 ]. I, ^& x7 R, B. _8 g& x+ CStratified sampling, 分层抽样0 j' C% B* {5 ~' L y4 s" }/ o
Strength, 强度
! S# {* |6 e# t D6 `- D# NStringency, 严密性2 q6 V$ k" y0 v# n% n2 U3 o/ G$ L
Structural relationship, 结构关系% i% c! n4 b1 e; E {) c* B Y
Studentized residual, 学生化残差/t化残差: _/ `, U. }8 a/ S6 k& a! J
Sub-class numbers, 次级组含量
. r7 t, {. u8 O* F! {, Z: s# l* u$ ISubdividing, 分割
+ g# _( n: h2 r4 J7 h1 E: O: b" S7 {Sufficient statistic, 充分统计量! D+ I! m) @9 g" X5 |, e! G9 t
Sum of products, 积和
) @. U( A/ d+ D6 m' U7 T4 ZSum of squares, 离差平方和( [8 h. ~/ x' d* S, A1 X1 X
Sum of squares about regression, 回归平方和
+ ^+ h% y( w4 u J( [; [* q- MSum of squares between groups, 组间平方和
2 ?' W9 _6 r* [+ B( xSum of squares of partial regression, 偏回归平方和
. P" g* R% l/ P9 TSure event, 必然事件
' Y( r2 @ ^& e; p1 {Survey, 调查
! A3 }9 x) p: n# W2 RSurvival, 生存分析
8 d) C& t2 [+ p7 o1 cSurvival rate, 生存率* Y; K. {6 z+ a6 b% z$ X. I, o
Suspended root gram, 悬吊根图
. E; {" e1 }( R' T. L& }* l9 }0 W8 {Symmetry, 对称
0 q% @) k7 ?) @5 x. a& MSystematic error, 系统误差
7 U5 t$ S! w. }3 A; CSystematic sampling, 系统抽样
4 g; P& T+ o a2 |+ FTags, 标签
# D4 e* D2 x5 Q- d' y, n7 G2 RTail area, 尾部面积, K( c% s3 _" i; S* z
Tail length, 尾长
0 V9 [' A# B* gTail weight, 尾重( a& @. B6 ~& T P+ T- k
Tangent line, 切线
8 s# ?2 K( h2 _+ Y; h9 STarget distribution, 目标分布
# z u4 f0 X( @1 C" A* vTaylor series, 泰勒级数, Y7 `: y' d$ N2 @# u' T8 v
Tendency of dispersion, 离散趋势
8 Y6 g7 {7 a2 hTesting of hypotheses, 假设检验
/ E3 L9 x% y/ m+ L Q7 u% sTheoretical frequency, 理论频数
u# s* K% G/ N- L2 p3 vTime series, 时间序列
* w2 S& V: i0 n& Z# zTolerance interval, 容忍区间
9 l9 F8 H6 c# j3 B$ D. C" c5 y1 JTolerance lower limit, 容忍下限/ D1 t* j8 w# G& _1 U- P
Tolerance upper limit, 容忍上限
, T/ ~6 ], F7 R; [Torsion, 扰率
8 e( ]+ C8 ]5 ~0 \7 Q+ ~Total sum of square, 总平方和" S/ e8 O! v5 j
Total variation, 总变异
3 \: m7 m9 l* M8 CTransformation, 转换8 M" n0 l5 W3 e% ?- p( G+ [
Treatment, 处理
' V/ v0 I( k; x( n J4 L( ~Trend, 趋势
4 S# e/ N6 B5 `Trend of percentage, 百分比趋势
: u. Q e+ L' M6 n! a2 r( FTrial, 试验8 U$ k( S2 q% G7 J
Trial and error method, 试错法+ v2 X- b% S0 ^
Tuning constant, 细调常数3 E' d7 l/ X$ g( y2 j
Two sided test, 双向检验
4 m' u' A: F& |% j$ hTwo-stage least squares, 二阶最小平方$ c y0 C1 [: Z# Z
Two-stage sampling, 二阶段抽样1 w# \) L9 t/ ~! l V
Two-tailed test, 双侧检验
1 q0 X2 S; B4 P+ _, }. oTwo-way analysis of variance, 双因素方差分析3 b5 a# u# o* u& F
Two-way table, 双向表
" @% m: J+ |: e$ fType I error, 一类错误/α错误. @, o# o# q b" `
Type II error, 二类错误/β错误
0 y; V* p! q# W/ X8 R5 LUMVU, 方差一致最小无偏估计简称
0 j, V( T# ~0 ?; [Unbiased estimate, 无偏估计4 L9 M9 s7 N- G
Unconstrained nonlinear regression , 无约束非线性回归
: {: l5 T) T h& y4 Z# |Unequal subclass number, 不等次级组含量
) D0 A; E# a- M' H+ ~* M$ r# RUngrouped data, 不分组资料( p) K( M; m7 O7 F1 g2 g8 T8 ]
Uniform coordinate, 均匀坐标6 Q. [5 Y7 J" ^! d5 `
Uniform distribution, 均匀分布% x- |2 I5 N! f0 F# W3 _* S
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计
6 ]; {; {( T' q) w2 P. g8 U" |Unit, 单元
# D9 r1 a( o7 A0 @# p) EUnordered categories, 无序分类
# l5 c( n& A) e- w" K& t$ vUpper limit, 上限( L- p6 D+ B5 n* i6 ?( O* @; [
Upward rank, 升秩
$ Q! e2 a/ {3 o9 N4 fVague concept, 模糊概念
) Z2 a6 s7 f. m5 G% \ k; jValidity, 有效性! I, a/ F1 }' C, s
VARCOMP (Variance component estimation), 方差元素估计* _ Z6 C6 y, M7 H2 P0 Y
Variability, 变异性3 G9 {+ t# W# s7 X& B
Variable, 变量
2 w4 w0 O5 y( `5 D4 t& P2 ~) uVariance, 方差) U9 l* A* s5 r5 @1 I+ J! C5 H) ?
Variation, 变异! l0 k* m9 V2 Y: [5 {4 [' G' j
Varimax orthogonal rotation, 方差最大正交旋转+ ~: x, s' g$ c1 s+ o
Volume of distribution, 容积: B& u9 T- s1 m+ A
W test, W检验4 L6 j. D& w2 Q6 k
Weibull distribution, 威布尔分布
( j( J$ |3 e& UWeight, 权数
' y( {' i+ x! s9 k& e4 r. qWeighted Chi-square test, 加权卡方检验/Cochran检验
1 ]( u6 A2 H* L* L6 _1 |Weighted linear regression method, 加权直线回归
; o; I2 U& ?, w) Q6 J1 |) fWeighted mean, 加权平均数- n9 d; b @$ R* t! ]. f# Q, Q5 p5 @* G
Weighted mean square, 加权平均方差$ m! B0 j4 I9 f! b" h
Weighted sum of square, 加权平方和
7 S: t& M! b3 i& x" P2 HWeighting coefficient, 权重系数
; n" A( d9 Q, H0 F" v4 iWeighting method, 加权法 & p9 V, H/ \1 w4 \/ k- T: d6 T! J
W-estimation, W估计量6 J, _* I0 f! O P" L1 T
W-estimation of location, 位置W估计量" b% u. F1 d! I# y" H
Width, 宽度" s4 A2 [% b% Y, y0 e' D9 A& T
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验( |2 } S+ o X! R
Wild point, 野点/狂点
5 _) r; s, r mWild value, 野值/狂值% [: R/ w2 A4 ^3 {' N* X
Winsorized mean, 缩尾均值! O5 q5 Y% N, O+ |0 A+ `1 l
Withdraw, 失访 3 I8 J% j( o' Z1 _3 ~# n% x. H
Youden's index, 尤登指数
3 v; O1 U$ X: [Z test, Z检验5 v3 \9 t6 D0 L: S6 `
Zero correlation, 零相关0 G, K& O/ R0 i( F
Z-transformation, Z变换 |
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发表于 2009-1-6 22:05
